By yeaight7
Transform vague requirements into structured, executable plans through Socratic questioning, wave-based parallelization, UAT verification, and integrated research for reviewable delivery.
Gather phase context through adaptive questioning before planning.
Execute all plans in a phase with wave-based parallelization
Initialize a new project with deep context gathering and PROJECT.md
Create detailed phase plan (PLAN.md files) with verification loop
Validate built features through conversational UAT
Executes plans with deviation handling, checkpoint protocols, and state management. Spawned by execute-phase orchestrator.
Creates executable phase plans with task breakdown, dependency analysis, and goal-backward verification. Spawned by /plan-phase orchestrator.
Researches how to implement a phase before planning. Produces RESEARCH.md consumed by phase-planner. Spawned by /plan-phase orchestrator.
Uses power tools
Uses Bash, Write, or Edit tools
npx claudepluginhub yeaight7/agent-powerups --plugin spec-driven-developmentBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Oh My Zsh for coding agents.
Quickstart · Agent Quickstart · Plugins · Installation · Security Model · Contributing
Agent Powerups is an Oh My Zsh-style collection of reusable skills, slash commands, MCP configs, hooks, AGENTS.md templates, and workflows for coding agents.
Today, this repo ships:
apx) with runnable local checksapx plugins inspection (apx plugins list)apx profiles for curated skill/plugin setsNative install is direct for humans. Safety boundaries stay around external tools, secrets, shell profiles, and MCP enablement.
| Path | Status | Notes |
|---|---|---|
skills/ | shipped | Reusable agent workflows such as systematic-debugging and writing-plans |
mcp/ | shipped | Local-first GitHub MCP config with check, smoke, and explicit install commands |
agents-md/ | shipped | Starter AGENTS.md templates |
commands/ | shipped | Review-first command prompts plus safe runnable checks |
hooks/ | shipped | Review-before-use hook recipes plus safe runnable checks |
workflows/ | shipped | Scenario guides |
plugins/ | shipped | Plugins with local-first discovery, validation, native install, and marketplace metadata (apx plugins list) |
scripts/ | shipped | Validation and tool-check helpers for this repo |
examples/ | shipped | Minimal safe setup examples |
If you are an agent working in a repo with Agent Powerups available, route tasks to capabilities yourself instead of waiting to be told:
Match first. On Claude Code the host already lists skills natively — match the task to the narrowest fitting skill (plus obvious fits like no-fluff). On Codex, Gemini, or generic agents, start with apx discover.
Discover the rest — anything not natively loaded (MCP configs, hooks, AGENTS.md templates, installed-only assets):
apx discover "<the user's task>" --target <codex|claude-code|gemini|generic> --json
apx info <chosen-asset> # what it is, when to use it, source path, next action
Read, apply, verify. Read the asset's SKILL.md (or file) before applying it; run apx check <asset> only if it declares external requirements; then verify the result against the task.
Gate risky assets. MCP configs and hooks are review-before-use — surface them for approval, never auto-enable.
npm install -g agent-powerups
apx install claude --full
Workflow-first MCP server design with schema-first tools, context-aware outputs, and evaluation discipline.
Browser, MCP, retrieval, and agent runtime integration skills with conservative setup and safety boundaries.
Quality gates for spec-driven development: adversarial plan verification and structured code review.
Documentation architecture, API reference authoring, ADR writing, readme hardening, and doc quality.
Multi-model orchestration and advisor routing: tri-model review and canonical advisor routing.
Ultra-compressed communication mode. Cuts 65% of output tokens (measured) while keeping full technical accuracy by speaking like a caveman.
Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
Multi-model consensus engine integrating OpenAI Codex CLI, Gemini CLI, and Claude CLI for collaborative code review and problem-solving.
Unified capability management center for Skills, Agents, and Commands.
Standalone image generation plugin using Nano Banana MCP server. Generates and edits images, icons, diagrams, patterns, and visual assets via Gemini image models. No Gemini CLI dependency required.